Dataset for "Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation"

Photocatalytic foams combine the advantages of slurries and immobilised photocatalysts for water treatment. The paper associated with this dataset, "Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation" describes the performance of ZnO photocatalytic foams in recirculation and single-pass configuration reactors. The photocatalytic activity was systematically studied for flow rate, catalyst length and stability parameters using Carbamazepine (CBZ) as a model pollutant. This dataset contains Carbamazepine photocatalytic degradation data underpinning these results. Materials characterisation data comprises Zn concentration in the solution after photocatalysis (ICP/MS), X-ray diffraction data and Scanning Electron Microscopy (TEM/SEM) images. Simulation results are provided from the code developed in Matlab and compared to experimental data.

All experimental details including sampling, procedures and methodologies are fully described in the associated paper.

All technical details are fully described in the associated paper. Origin Software (version 2017 Academic 64 bit) was used to create the Figures presented in the manuscript and Blender for the graphical abstract. Simulation data was perfomed using Matlab 2021 software.

The spreadsheet contains the following tabs:
• Data for photocatalytic degradation using ZnO foams in Figures 3, 4, 5, and S2 in the manuscript, respectively;
• SEM and FE-SEM original micrographs in the manuscript (Figures 2) and ESI (Figure S4);
• X-ray diffraction data for Figure S.1 in the ESI;
• HPLC calibration data for Carbamazepine;
• Zn concentration;
• Quantum efficiency and EEO (Tables 1 and 3);
• UV dose data Figures 3 and 5 in the manuscript, Figure S2 ESI and Tables S4 and S5 ESI;
• Hydrodynamics parameters Tables S6 and S7 ESI
• Simulation: Figure 7 in the manuscript, Figures S5 to S8 ESI and Tables S10 and S11.

Further relevant documentation may be found in the following resources.

Guaraldo, T. T., Vakili, R., Wenk, J., and Mattia, D., 2023. Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation. Chemical Engineering Journal, 455, 140784. Available from: https://doi.org/10.1016/j.cej.2022.140784.